Nonstationary signal processing for mechanical fault diagnosis, literature, scholars
- Feng, Z., D. Zhang and M.J. Zuo, Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples. IEEE Access, 2017. 5: p. 24301-24331. link
- Yang, Y., et al., Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances. Mechanical Systems and Signal Processing, 2019. 119: p. 182-221. link
- Liu, T., et al., A Comparative Study of Four Kinds of Adaptive Decomposition Algorithms and Their Applications. Sensors (Basel, Switzerland), 2018. 18(7): p. 2120. link
- Uma Maheswari, R. and R. Umamaheswari, Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey. Mechanical Systems and Signal Processing, 2017. 85: p. 296-311. link
- Qiao, W. and D. Lu, A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part II: Signals and Signal Processing Methods. IEEE Transactions on Industrial Electronics, 2015. 62(10): p. 6546-6557. link
- Rai, A. and S.H. Upadhyay, A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings. Tribology International, 2016. 96: p. 289-306. link
- Feng, Z., M. Liang and F. Chu, Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples. Mechanical Systems and Signal Processing, 2013. 38(1): p. 165-205. link
- Delvecchio, S., P. Bonfiglio and F. Pompoli, Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques. Mechanical Systems and Signal Processing, 2018. 99: p. 661-683. link
- Vold-Kalman flitering
- Short time Fourier transform
- Wavelet transform
- Wigner–Ville distribution
- Cohen class distributions
- Affine class distributions
- Adaptive optimal kernel function
- Reassigned bilinear time–frequency distribution
- Wigner higher order spectrum
- L-class and S-class distributions
- Atomic decomposition
- Matching pursuit
- Basis pursuit
- TFMA parameter estimation
- TFAR parameter estimation
- TFARMA parameter estimation
- TFARMA order estimation
- Hilbert–Huang transform
- Local mean decomposition
- Energy separation algorithm
- Yang, Y., et al., Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances. Mechanical Systems and Signal Processing, 2019. 119: p. 182-221.link